CN108039713A - One kind abandons wind and extensive electric heat accumulation and battery energy storage coordinated operation method - Google Patents
One kind abandons wind and extensive electric heat accumulation and battery energy storage coordinated operation method Download PDFInfo
- Publication number
- CN108039713A CN108039713A CN201711136760.5A CN201711136760A CN108039713A CN 108039713 A CN108039713 A CN 108039713A CN 201711136760 A CN201711136760 A CN 201711136760A CN 108039713 A CN108039713 A CN 108039713A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- electric
- battery
- battery energy
- heat storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Abstract
Wind and extensive electric heat accumulation and the method for battery energy storage coordinated operation are abandoned the invention discloses a kind of, belongs to and abandons wind consumption field.By by gather come electric boiler environment temperature, electric boiler electric conversion efficiency, battery ambient temperature, battery charge state data are screened, differentiate the heat accumulation of electric boiler and battery and electric energy storage state, by considering that history abandons the most value of air quantity, the efficiency of air quantity, electric boiler and battery energy storage equipment is abandoned with reference to prediction, foundation abandons wind and extensive electric heat accumulation, abandons wind and extensive battery energy storage coordinated operation system, to calculate the proportionality coefficient of electric heat accumulation and battery energy storage, with reference to the power for abandoning Wind Coverage Calculation electricity heat accumulation and battery energy storage of prediction；This method can be according to the power for abandoning air quantity and reasonably distributing electric heat accumulation and battery energy storage, realize the coordinated operation for abandoning wind and extensive electric heat accumulation and battery energy storage, the reasonable utilization of the energy is realized, effectively improves the ability and economic benefit for abandoning wind consumption, realizes that clean energy resource utilizes.
Description
Technical Field
The invention belongs to the field of abandoned wind absorption, and particularly relates to a method for coordinately operating abandoned wind, large-scale electric heat storage and battery energy storage.
Background
Along with the development of social economy, the continuous development and progress of science and technology in China, the demand of energy is increased year by year, the consumption of natural energy is increased, the reserves of non-renewable resources such as coal, petroleum, natural gas and the like are rapidly reduced, a large amount of pollution gas emission is generated while the natural energy is consumed, if sustainable development is realized, clean energy with rich resources in China must be found for substitution, the power generation industry in China mainly adopts firepower, but along with the development of science and technology, the actual situation in China is combined, the power industry in China takes wind power generation as a power generation point, wind power generation in China is sufficient in China, the wind power generation is mainly distributed in the 'three north' area with rich wind power resources, although the resources are rich, the problem of wind curtailment is serious, the cause of the problem is many, the wind power generation depends on the changing meteorological conditions, randomness and intermittence exist, the early receiving load capacity is poor, the wind power can not be converted into electric energy in time, a large amount of wind power is wasted, and the wind power generation is caused by the limitation of wind power output characteristics of the power system operation constraint and the power grid access of China. The energy storage device is used as a means for transferring electric energy in time, can make up for fluctuation and anti-peak regulation characteristics of wind power output, is beneficial to large-scale wind power consumption, and reduces wind curtailment of a power grid.
In view of the above, a coordinated operation method of abandoned wind, electric energy storage and battery energy storage is established to meet the needs of practical application.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a coordinated operation method of abandoned wind, large-scale electric heat storage and battery energy storage, and the abandoned wind is absorbed to the maximum extent by carrying out the coordinated operation through the judgment on the heat storage state and the battery storage state and the calculation of the magnitude of the electric heat storage and the battery energy storage.
The invention relates to a method for coordinated operation of abandoned wind, large-scale electric heat storage and battery energy storage, which comprises the following specific steps of:
step 1: data acquisition
Selecting parameters: maximum air abandon quantity P of selected time period fmax Minimum reject air volume P fmin Heat storage efficiency eta of electric boiler 1 Electric heat conversion efficiency beta of electric boiler, temperature T of environment where electric heat storage system is located 1 N number of electric boilers, and d, P average distance between each electric boiler cmin For minimum heat storage capacity, P, of the heat storage device cmax The maximum heat storage power of the heat storage device. Charging efficiency of batteryRate tau 1 Discharge efficiency of the cell 2 And the temperature T of the environment where the battery energy storage system is located 2 The number N of the batteries, the average distance D between the batteries, and the SOC soc (which is the ratio of the excess capacity over the portion thereof to the fully charged state) of the battery over the portion thereof, which ranges from [0,1]When soc =1, it indicates that the battery is fully charged, and when soc =0, it indicates that the battery is fully discharged. ) Data collection can be performed through the sensor and transmitted back to the computer for processing.
Step 2: screening electric boiler environment temperature and electric boiler electric heat conversion efficiency data:
step 2.1: electric boiler environment temperature standard function and electric boiler electric heat conversion efficiency establishment and calculation
Establishing an electric boiler environment temperature standard function f (x), wherein an electric boiler electric heat conversion efficiency standard function g (x) is as follows:
wherein x is the number of all electric boilers in the power grid, x =1,2,3, \8230;, k, k are natural numbers.
Step 2.2: constructing an electric boiler environment temperature array:
randomly extracting a plurality of data T from the measured temperature 11 ,T 12 ,...,T 1i Form an array phi i]，T 1i Represents the ith measurement data;
step 2.3: determining an electric boiler environment temperature array:
and when the similarity coefficient alpha of the functions phi [ i ] and f (x) is more than or equal to 59.34%, extracting a data group phi [ i ], wherein the data group is used as processed data.
Step 2.4: determining an electric heating conversion efficiency array of the electric boiler:
from phi [ i ]]Randomly extracting a plurality of data beta from the corresponding i data 1 ,β 2 ,....,β j Form an arrayRepresenting the jth measurement.
When functionExtracting array when the similarity coefficient alpha between the array and g (x) is more than or equal to 68.45 percentThis array serves as the processed data.
And 3, step 3: screening battery environment temperature and battery charge state data:
step 3.1: establishment and calculation of battery environment temperature standard function and battery charge state standard function
Establishing a battery environment temperature standard function C (x), wherein a battery state of charge standard function D (x) is as follows:
wherein x is the serial number of all batteries in the power grid, x =1,2,3, \8230;, k, k are natural numbers.
Step 3.2, constructing a battery environment temperature array:
randomly extracting a plurality of data T from the measured temperature 21 ,T 22 ,...,T 2i Form an array phi i]，T 2i The ith measurement data is shown.
Step 3.3: determining the battery environment temperature array:
calculating the similarity coefficient of phi [ i ] and C (x):
and when the similarity coefficient beta of phi [ i ] and C (x) is more than or equal to 63.12%, extracting a data group phi [ i ], and using the data group for coordinated operation calculation.
Step 3.4: battery state of charge array determination:
from phi [ i ]]Randomly extracting a plurality of data soc from corresponding i soc data 1 ,soc 2 ,...,soc j Form an arraysoc j Representing the jth measurement.
Computing the current functionExtracting the array when the similarity coefficient beta of D (x) is more than or equal to 71.30 percentThis array is used to coordinate the running computations.
And 4, step 4: calculation of electric heat storage and battery energy storage coordinated operation influence parameters
Step 4.1: calculation of coordinated operation parameters of abandoned wind and large-scale electric heat storage
Calculating the wind curtailment and large-scale electric heat storage coordination operation parameters according to the following formula:
wherein delta (T) is an external parameter of coordinated operation of abandoned wind and large-scale electric heat storage, i =1,2 1i The data processed in the step 2.3, n is the number of the electric boilers T 1max The maximum temperature, T, of the environment in which the electric heat storage system is located 2min In the environment of the electric heat storage systemD is the average distance between the electric boilers.
And 4.2: calculation of coordinated operation parameters of abandoned wind and large-scale battery energy storage
Gamma (t) is a coordinated operation parameter of abandoned wind and large-scale battery energy storage, P i Represents the output power of the ith battery energy storage device, i =0,1,2.
And 5: electric heat storage and battery energy storage state judgment
Step 5.1: electric heat storage state discrimination
Rho (t) is a discrimination function of the state of electric heat storage, P f (T) is the air abandoning quantity, d is the average distance between every two electric boilers, T max And delta is the highest temperature of the environment where the electric heat storage system is located, delta is an external parameter for coordinated operation of the abandoned wind and the large-scale electric energy storage, and gamma is an internal parameter for coordinated operation of the abandoned wind and the large-scale electric energy storage.
If the state judgment factor alpha is less than 0, the electric heat storage can be judged to be in the energy storage state; alpha is greater than 0, it can be determined that the electric heat storage is not in the heat storage state.
Step 5.2: battery energy storage state discrimination
Alpha (t) is a discrimination function of the charge-discharge state of the battery, P f (t) is the air flow rate, D is the average distance between the cells, and tau 1 For the charging efficiency of the battery, τ 2 For the discharge efficiency of the cell, N is the number of cells, T max The highest temperature of the environment of the battery energy storage system is shown, and gamma is the coordinated operation of abandoned wind and large-scale battery energy storageAnd (4) a line parameter.
When alpha is less than 0, the battery is charged, and when alpha is more than or equal to 0, the battery is discharged.
And 6: calculation of charging and discharging electric quantity by coordinated operation of abandoned wind, large-scale electric heat storage and battery energy storage
The obtained large-scale electric heat storage coordination operation parameter delta (t), the electric heat storage state discrimination function rho, the large-scale battery energy storage coordination operation parameter gamma (t), the wind abandoning and large-scale battery energy storage coordination operation state discrimination function alpha are brought into a wind abandoning, large-scale electric energy storage and battery energy storage coordination operation mathematical model to obtain P st I.e. heat storage capacity of electric boiler, P dt Namely the energy storage power of the battery.
Has the advantages that: compared with the prior art, the method is realized by the coordinated operation of the consumption of the electric load for the abandoned wind and the method for converting the wind energy into the large-scale electric heat storage and battery energy storage, and is the most effective method for the consumption of the abandoned wind.
Drawings
FIG. 1 is a flow chart of the coordinated operation of wind curtailment, large-scale electric heat storage and battery energy storage
Detailed Description
Taking wind abandon data of a certain area with serious wind abandon as an example, calculating the operating state of a large-scale energy storage and battery energy storage system in one day: the correctness of the coordinated operation method of the abandoned wind, the large-scale electric heat storage and the battery energy storage is verified.
Step 1: data acquisition
The daily air abandoning amount is 1539.9Mw.h, the heat storage efficiency of the electric boilers is 98.14%, the electric boilers are 50x21MW, the maximum heat storage power of each electric boiler is 20.79MW, the minimum heat storage power is 18.9MW, the distance between the electric boilers is-1.6 ℃ of the average temperature of the environment, and the distance between the electric boilers is d =8m.
Charging efficiency tau of battery 1 =82.51%, discharge efficiency τ of the battery 1 =88.27%, the number of cells N =290, and the average distance D =3.5m between the cells.
Temperature T1 of environment where each electric boiler is located in electric heat storage system and electric heat conversion efficiency beta
Temperature T2 of environment where battery energy storage system is located and state of charge soc of battery
Step 2: screening electric boiler environment temperature and electric boiler electric heat conversion efficiency data:
step 2.1 electric boiler environment temperature standard function, electric boiler electric heat conversion efficiency establishment and calculation
Establishing an electric boiler environment temperature standard function f (x), wherein an electric boiler electric heat conversion efficiency standard function g (x) is as follows:
wherein x is the number of all batteries in the power grid, and x =1,2,3, \8230;, 50.
Step 2.2, constructing an electric boiler environment temperature array:
from measurementsRandomly extracting a plurality of data T from the temperature 1 ,T 2 ,...,T i Form an array phi i]，T i Representing the ith measurement data
Step 2.3: determining an electric boiler environment temperature array:
calculating the similarity coefficient of phi [ i ] and f (x):
phi (40) = -1.4 ℃, -1.6 ℃,. And, -1.5 ℃ obtained through selection calculation, and the similarity coefficient alpha =63.65% of the function f (x) meets the condition that alpha is larger than or equal to 59.34%, and then the data set is used for calculation of coordinated operation.
Step 2.4: determining an electric heating conversion efficiency array of the electric boiler:
randomly extracting a plurality of data beta from 50 data corresponding to phi (40) 1 ,β 2 ,....,β j Form an arrayWhich represents the j-th measurement data,
obtained by selection calculationThe similarity coefficient alpha of the function g (x) is more than or equal to 73.34%, alpha is more than or equal to 68.45%, and the array is used for the calculation of the coordinated operation.
And 3, step 3: screening battery environment temperature and battery charge state data:
step 3.1 establishing and calculating battery environment temperature standard function and battery state of charge standard function
Establishing a battery environment temperature standard function C (x), wherein a battery charge state standard function D (x) is as follows:
wherein x is the number of all batteries in the power grid, and x =1,2,3, \8230;, 280.
Step 3.2, constructing a battery environment temperature array:
randomly extracting a plurality of data T from the measured temperature 11 ,T 12 ,...,T 1i Form an array phi i]，T 1i Representing the ith measurement data
Step 3.3: determining the battery environment temperature array:
calculating the similarity coefficient of phi [ i ] and f (x):
phi [289] =16.76 ℃,15.41 ℃, so, 18.74 ℃ and the similarity coefficient beta of the function f (x) is approximately equal to 65.74%, and the beta is equal to or more than 63.12%, so that the array is used for the calculation of the coordinated operation.
Step 3.4: battery state of charge array determination:
from phi [289]Randomly extracting j data soc from corresponding 289 soc data 1 ,soc 2 ,...,soc j Form an array
Obtained by selection calculationThe similarity coefficient beta of the function g (x) is approximately equal to 73.42 percent, and the similarity coefficient beta is equal to or more than 71.30 percent, and the data set is used for the calculation of the coordinated operation.
And step 3: calculation of electric heat storage and battery energy storage coordinated operation influence parameters
Step 3.1: calculation of coordinated operation parameters of abandoned wind and large-scale electric heat storage
Calculating the coordinated operation parameters of the abandoned wind and the large-scale battery energy storage according to the following formula:
T i the temperature of-1.4 ℃, the temperature of-1.6 ℃, the temperature of-1.5 ℃ is data processed in the step 2.3, the number of electric boilers is n =4, and the maximum value P of the wind curtailment of a certain day in the past month is selected fmax ＝2812MW·h，P fmin The following calculated battery energy storage values of =1290MW · h are the same.
T max The temperature of the electric heat storage system is = -1.0 ℃, which is the highest temperature of the environment where the electric heat storage system is located, T min And the temperature of = 2.1 ℃ is the lowest temperature of the environment where the battery energy storage system is located, d =8m is the average distance between the batteries, and the data are substituted into the formula to calculate delta =2.2675.
Step 3.2: calculation of operating parameters of wind curtailment and large-scale battery energy storage coordination
Calculating the coordinated operation parameters of the abandoned wind and the large-scale battery energy storage according to the following formula:
delta is an external parameter for coordinated operation of the abandoned wind and large-scale battery energy storage,
T i 20.. Multidot.18.74 ℃ is the data processed in step 2.3, n =290 is the number of batteries, T =16.76 ℃,15.41 ℃... Multidot. max =26.89 ℃ is the highest temperature of the environment where the battery energy storage system is located, T min The temperature is 13.21 ℃ which is the lowest temperature of the environment of the battery energy storage system, D =3.5cm D =3.5m which is the average distance between the batteries, and the data are substituted into the formula to calculate that delta is approximately equal to 3.12
And 4, step 4: electric heat storage and battery energy storage state judgment
Step 4.1: electric heat storage state discrimination
Calculated α (t) = -5.34542 <0, indicating that the electrical heat storage is in a heat storage state.
Step 4.2: battery energy storage state discrimination
The charging and discharging states of the battery are judged according to the following formula
Substituting the air abandon amount P (t) corresponding to the current day into a battery charge-discharge state discrimination function, and calculating to obtain
t∈[9,16],α＞0
t∈[0,4]∪[21,24],α＜0 (11)
It follows that the wind field is charged between approximately 0 and 4 hours and 21 and 24 hours a day, and the discharge time is concentrated between 9 am and 4 pm.
Step 5, establishing a mathematical model for coordinated operation of abandoned wind, large-scale electric energy storage and battery energy storage
Substituting the above calculated data into the above formula to obtain the electric heat storage power P st ＝20.50MW，P dt (t)＝34，31MW。
Claims (6)
1. A method for operating abandoned wind, large-scale electric heat storage and battery energy storage in a coordinated manner is characterized by comprising the following steps: step 1: data acquisition and selection parameters: maximum air abandon quantity P of selected time period fmax Minimum reject air volume P fmin Heat storage efficiency eta of electric boiler 1 Electric boiler electric heat conversion efficiency beta, temperature T of environment where electric heat storage system is located 1 Electric boilerN, the average distance d, P between each electric boiler cmin For minimum heat storage capacity, P, of the heat storage device cmax The maximum heat storage power of the heat storage device; charging efficiency tau of battery 1 Discharge efficiency of the cell 2 And the temperature T of the environment where the battery energy storage system is located 2 The number N of the batteries, the interval average distance D between the batteries and the state of charge soc of the batteries; step 2: screening the environmental temperature of the electric boiler and the electric heat conversion efficiency data of the electric boiler; and step 3: screening battery environment temperature and battery charge state data; and 4, step 4: calculating the influence parameters of the coordinated operation of the electric heat storage and the battery energy storage; and 5: judging the electric heat storage and battery energy storage states; step 6: and (4) calculating charge and discharge electric quantity by coordinating operation of wind abandoning, large-scale electric heat storage and battery energy storage.
2. The method for operating the abandoned wind, the large-scale electric heat storage and the battery energy storage in a coordinated mode according to the claim 1 is characterized in that the step 2: electric boiler ambient temperature, electric boiler electric heat conversion efficiency data screening establish electric boiler ambient temperature standard function f (x), and electric boiler electric heat conversion efficiency standard function g (x) is:
step 2.2: constructing an electric boiler environment temperature array:
randomly extracting a plurality of data T from the measured temperature 11 ,T 12 ,...,T 1i Form an array phi i]，T 1i Represents the ith measurement data;
step 2.3: determining an electric boiler environment temperature array:
when the similarity coefficient alpha of the functions phi [ i ] and f (x) is more than or equal to 59.34%, extracting a data group phi [ i ], wherein the data group is used as processed data;
step 2.4: determining an electric heating conversion efficiency array of the electric boiler:
from phi i]Randomly extracting a plurality of data beta from the corresponding i data 1 ,β 2 ,....,β j Form an arrayRepresenting the jth measurement.
3. The method for operating the abandoned wind, the large-scale electric heat storage and the battery energy storage in a coordinated mode according to the claim 1 is characterized in that the step 3: screening battery environment temperature and battery charge state data, and 3.1: establishing and calculating a battery environment temperature standard function and a battery charge state standard function, and establishing a battery environment temperature standard function C (x), wherein the battery charge state standard function D (x) is as follows:
step 3.2, constructing a battery environment temperature array:
randomly extracting a plurality of data T from the measured temperature 21 ,T 22 ,...,T 2i Form an array phi i]，T 2i Represents the ith measurement data;
step 3.3: determining the battery environment temperature array:
calculating the similarity coefficient of phi [ i ] and C (x):
when the similarity coefficient beta of phi i and C (x) is more than or equal to 63.12%, extracting a data group phi i, and using the data group for coordinated operation calculation;
step 3.4: battery state of charge array determination:
from phi [ i ]]Randomly extracting a plurality of data soc from corresponding i soc data 1 ,soc 2 ,...,soc j Form an arraysoc j Representing the jth measurement.
4. The method for operating the abandoned wind, the large-scale electric heat storage and the battery energy storage in a coordinated mode according to the claim 1 is characterized in that the step 4: calculating the influence parameters of the coordinated operation of the electric heat storage and the battery energy storage;
step 4.1: calculation of wind curtailment and large-scale electric heat storage coordinated operation parameters
Step 4.2: calculation of operating parameters of wind curtailment and large-scale battery energy storage coordination
Gamma (t) is a coordinated operation parameter of abandoned wind and large-scale battery energy storage, P i Represents the output power of the ith battery energy storage device, i =0,1,2.
5. The method for coordinated operation of wind curtailment, large-scale electric heat storage and battery energy storage according to claim 1 is characterized in that the method comprises the following steps: judging the electric heat storage and battery energy storage states;
step 5.1: electric heat storage state discrimination
Step 5.2: battery energy storage state discrimination
6. The method for operating the abandoned wind, the large-scale electric heat storage and the battery energy storage in a coordinated mode according to the claim 1 is characterized in that the method comprises the following steps of 6: calculation of charging and discharging electric quantity by coordinated operation of abandoned wind, large-scale electric heat storage and battery energy storage
The obtained large-scale electric heat storage coordination operation parameter delta (t), the electric heat storage state discrimination function rho, the large-scale battery energy storage coordination operation parameter gamma (t), the wind abandoning and large-scale battery energy storage coordination operation state discrimination function alpha are brought into a wind abandoning, large-scale electric energy storage and battery energy storage coordination operation mathematical model to obtain P st I.e. heat storage capacity of electric boiler, P dt Namely the energy storage power of the battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711136760.5A CN108039713B (en) | 2017-11-16 | 2017-11-16 | Wind-curtailed and large-scale electric heat storage and battery energy storage coordinated operation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711136760.5A CN108039713B (en) | 2017-11-16 | 2017-11-16 | Wind-curtailed and large-scale electric heat storage and battery energy storage coordinated operation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108039713A true CN108039713A (en) | 2018-05-15 |
| CN108039713B CN108039713B (en) | 2021-06-08 |
Family
ID=62093438
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711136760.5A Active CN108039713B (en) | 2017-11-16 | 2017-11-16 | Wind-curtailed and large-scale electric heat storage and battery energy storage coordinated operation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108039713B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107947208A (en) * | 2017-11-17 | 2018-04-20 | 国网辽宁省电力有限公司 | One kind abandons wind and extensive battery energy storage coordinated operation method |
| CN112186745A (en) * | 2020-09-18 | 2021-01-05 | 国网辽宁省电力有限公司电力科学研究院 | Power grid critical wind curtailment criterion calculation method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004063930A (en) * | 2002-07-31 | 2004-02-26 | Kyocera Corp | Power generation system utilizing natural energy |
| EP2999077A1 (en) * | 2014-09-17 | 2016-03-23 | Clean Power Solutions Ltd | An energy management device and an electrical installation |
| CN205316444U (en) * | 2015-12-15 | 2016-06-15 | 上海置信节能环保有限公司 | Clean heating system suitable for dissolve and abandon wind -powered electricity generation |
| CN105976265A (en) * | 2016-05-12 | 2016-09-28 | 中国电力科学研究院 | Capacity planning method for energy-storage coordination heat-storage type electric boiler |
| CN106300443A (en) * | 2016-09-21 | 2017-01-04 | 浙江大学 | A kind of for reducing the three layers of cogeneration microgrid energy control method abandoning wind |
| CN106992541A (en) * | 2017-04-24 | 2017-07-28 | 中国电力科学研究院 | It is a kind of to reduce the method and apparatus that wind-powered electricity generation abandons wind |
| CN107204632A (en) * | 2017-07-15 | 2017-09-26 | 东北电力大学 | A kind of flexible load Optimization Scheduling for lifting wind electricity digestion |
-
2017
- 2017-11-16 CN CN201711136760.5A patent/CN108039713B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004063930A (en) * | 2002-07-31 | 2004-02-26 | Kyocera Corp | Power generation system utilizing natural energy |
| EP2999077A1 (en) * | 2014-09-17 | 2016-03-23 | Clean Power Solutions Ltd | An energy management device and an electrical installation |
| CN205316444U (en) * | 2015-12-15 | 2016-06-15 | 上海置信节能环保有限公司 | Clean heating system suitable for dissolve and abandon wind -powered electricity generation |
| CN105976265A (en) * | 2016-05-12 | 2016-09-28 | 中国电力科学研究院 | Capacity planning method for energy-storage coordination heat-storage type electric boiler |
| CN106300443A (en) * | 2016-09-21 | 2017-01-04 | 浙江大学 | A kind of for reducing the three layers of cogeneration microgrid energy control method abandoning wind |
| CN106992541A (en) * | 2017-04-24 | 2017-07-28 | 中国电力科学研究院 | It is a kind of to reduce the method and apparatus that wind-powered electricity generation abandons wind |
| CN107204632A (en) * | 2017-07-15 | 2017-09-26 | 东北电力大学 | A kind of flexible load Optimization Scheduling for lifting wind electricity digestion |
Non-Patent Citations (3)
| Title |
|---|
| HONGYU ZHANG ET AL.: "The Proabilistic Production Simulation for Mixed Wind-Hydro-Thermal Power System and the Sensitivity Analysis for the Indices of Abandoned wind", 《2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE》 * |
| 王鹤等: "蓄热式电锅炉融合储能的风电消纳优化控制", 《分布式能源》 * |
| 苑舜等: "基于分散式风储提供电压稳定性的虚拟电厂研究", 《东北电力技术》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107947208A (en) * | 2017-11-17 | 2018-04-20 | 国网辽宁省电力有限公司 | One kind abandons wind and extensive battery energy storage coordinated operation method |
| CN107947208B (en) * | 2017-11-17 | 2020-12-25 | 国网辽宁省电力有限公司 | Wind curtailment and large-scale battery energy storage coordinated operation method |
| CN112186745A (en) * | 2020-09-18 | 2021-01-05 | 国网辽宁省电力有限公司电力科学研究院 | Power grid critical wind curtailment criterion calculation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108039713B (en) | 2021-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111969603B (en) | Micro-energy network system and cooperative optimization operation control method thereof | |
| Jallouli et al. | Sizing, techno-economic and generation management analysis of a stand alone photovoltaic power unit including storage devices | |
| CN106532764B (en) | A kind of electric car charging load control method of on-site elimination photovoltaic power generation | |
| CN106295853B (en) | Distributed photovoltaic two-stage multi-target in-situ sodium elimination method based on energy storage scheduling mode | |
| CN109494723A (en) | A kind of micro-grid system and its control and generated energy prediction technique | |
| CN104836259B (en) | Multi-energy resource ship micro-grid real-time energy optimal scheduling method | |
| CN110138006B (en) | Multi-microgrid coordinated optimization scheduling method considering new energy electric vehicle | |
| CN105550766A (en) | Micro-grid robustness multi-target operation optimization method containing renewable energy resources | |
| CN111144620A (en) | Electricity-hydrogen comprehensive energy system considering seasonal hydrogen storage and robust planning method thereof | |
| CN111242388B (en) | Micro-grid optimization scheduling method considering combined supply of cold, heat and power | |
| CN114021390A (en) | Random robust optimization method for urban comprehensive energy system and application thereof | |
| CN112671035A (en) | Virtual power plant energy storage capacity configuration method based on wind power prediction | |
| CN112994115A (en) | New energy capacity configuration method based on WGAN scene simulation and time sequence production simulation | |
| CN108039713B (en) | Wind-curtailed and large-scale electric heat storage and battery energy storage coordinated operation method | |
| CN115659120A (en) | Intelligent carbon emission monitoring platform based on big data | |
| CN114462889A (en) | Hydrogen-electric coupling multi-energy cross-region optimal configuration method and system | |
| CN113378409A (en) | Comprehensive energy system multi-energy complementary optimization scheduling method and system | |
| CN109871999B (en) | Random production simulation method and system of comprehensive energy system | |
| CN111262270A (en) | Light, diesel and storage hybrid power generation system | |
| CN107947208B (en) | Wind curtailment and large-scale battery energy storage coordinated operation method | |
| CN113298164B (en) | Building energy optimization method based on uncertainty of photovoltaic output | |
| CN112600248B (en) | Light-diesel-storage composite power supply control method | |
| CN108167916B (en) | Wind curtailment and large-scale electric heat storage coordinated operation method | |
| CN112904201A (en) | Real-time online evaluation system and method for charging and discharging processes of energy storage battery | |
| Athukorala et al. | A techno-economic analysis for an integrated solar PV/T system for building applications |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |